---
title: "Gemini 2.5 Flash-Lite — LLM-TEST.com"
url: /models/gemini-2-5-flash-lite/
canonical_url: https://llm-test.com/models/gemini-2-5-flash-lite/
language: en
type: model
summary: "The budget option from the 2.5 line, priced for simple, high-volume tasks. Retains the large context window while keeping cost and latency minimal."
last_updated: "2026-11-05"
---

# Gemini 2.5 Flash-Lite

_Google · Budget_

The budget option from the 2.5 line, priced for simple, high-volume tasks. Retains the large context window while keeping cost and latency minimal.

## At a glance

- Released: Jun 17, 2025
- Provider: Google
- Context window: 1,000,000 tokens
- Max output: 64,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: January 2025
- API model ID: `gemini-2.5-flash-lite`
- License: Proprietary (API only)

## Pricing

- Standard: $0.10 input / $0.40 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0004 (standard)

## Best use cases

- **Cheap classification** — Labels and sorts large text volumes at rock-bottom cost.
- **Data cleanup** — Normalizes and tags records ahead of heavier processing.
- **Simple lookups** — Answers short factual and formatting queries at scale.

## Strengths

- Very low cost
- Fast
- Large context

## Limitations

- Minimal reasoning depth
- No audio or video input

## Where to get access

- Consumer app: Gemini app (web, Android, iOS) — https://gemini.google.com
- API: Google AI Studio — https://aistudio.google.com
- Also available: Google Vertex AI
- Docs: https://ai.google.dev/gemini-api/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/